Enhancing Software Fault Prediction With Machine Learning

Emerging Research and Opportunities

Nonfiction, Computers, Programming, Software Development, General Computing
Cover of the book Enhancing Software Fault Prediction With Machine Learning by Ekbal Rashid, IGI Global
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Author: Ekbal Rashid ISBN: 9781522531876
Publisher: IGI Global Publication: September 13, 2017
Imprint: Engineering Science Reference Language: English
Author: Ekbal Rashid
ISBN: 9781522531876
Publisher: IGI Global
Publication: September 13, 2017
Imprint: Engineering Science Reference
Language: English
Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction. Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction. Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.

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